|
Evaluation of distance and angular dependence of polycrystalline semiconductor dosimeters for Ir-192 brachytherapy source using experimental measurements and Monte Carlo simulations
|
M.J. Han   , S.W. Kang , K.Y. Eom , I.A. Kim , J.S. Kim , B. Lee , W. Cho , J.B. Chung |
|
|
|
Abstract: (624 Views) |
Background: This study evaluates the distance and angular dependence of polycrystalline semiconductor-based dosimeters (PSDs) using lead (II) iodide (PbI₂) (PbI₂ PSD) and lead (II) oxide (PbO) (PbO PSD) for Ir-192 brachytherapy source. Experimental measurements were compared with Monte Carlo (MC) simulations to verify the dosimeters' performance and accuracy. Materials and Methods: PSDs were fabricated using PbI₂ and PbO as photoconductive materials, with a thin-film deposition process ensuring uniformity. Distance dependence was assessed by measuring dosimeter responses at source-to-surface distances ranging from 1 cm to 8 cm at 0.25 cm intervals, while angular dependence was evaluated at angles from 0° to 60° in 15° increments. MC simulations using the Geant4 Application for Tomographic Emission (GATE) v9.1 were conducted under identical conditions to validate the experimental measurements. Results: The experimental and simulated data demonstrated a strong agreement with the inverse-square law, with determination coefficient (R²) exceeding 0.98 for PbI₂ and PbO PSDs. The distance at which the signal intensity dropped by 50% (D₅₀) for measurements and simulations was 1.493 cm and 1.487 cm for PbI₂ PSD, respectively, and 1.488 cm and 1.481 cm for PbO PSD. Angular dependence analysis showed a decrease in response with increasing angle, with PbO PSD exhibiting slightly larger discrepancies (maximum difference of 5.48%) compared to PbI₂ PSD (maximum difference of 4.56%) between measurements and simulations. Conclusion: PbI₂ and PbO PSDs demonstrated predictable distance and angular dependence, closely aligning with MC simulations. However, angular correction factors may be necessary to improve dosimetric accuracy in clinical applications. |
|
| Keywords: Dosimeters, semiconductors, brachytherapy, iridium-192 radioisotope, Monte Carlo simulation, quality assurance. |
|
|
Full-Text [PDF 879 kb]
(242 Downloads)
|
|
Type of Study: Original Research |
Subject:
Radiation Biology
|
|
|
|
|
|
|
| References |
1. 1. Netkim A, Adenipekun A, Akinlade B, Campbell Q (2010) Evaluation of novel therapeutic approaches in oncology. Clin Med Insights Oncol, 4: 89. [ DOI:10.4137/CMO.S5269] 2. Watanabe Y, Maeyama T, Mizukami S, Tachibana H, Terazaki T, Takei H, et al. (2022) Analysis of radiation-induced DNA damage in human lymphocytes. J Radiat Res, 63(6): 838-45. [ DOI:10.1093/jrr/rrac053] 3. Niroomand-Rad A, Backwell CR, Coursey BM, Gall KP, McLaughlin WL, Meigooni AS, et al. (1998) AAPM protocol for 3D dosimetry of radiation therapy. Med Phys, 25(10): 2093-115. [ DOI:10.1118/1.598407] 4. Bechchar R, Senhou N, Ghassoun, J (2019) A fast and accurate analytical method for 2D dose distribution around brachytherapy sources in various thissue-equivalent phantoms. Int J Radiat Res, 17: 531-540. 5. Kim KT, Heo YJ, Han MJ, Oh KM, Lee YK, Kim SW, et al. (2017) Development of a novel radiation detector using scintillating materials. J Instrum, 12(4): C04024. [ DOI:10.1088/1748-0221/12/04/C04024] 6. Rosenfeld AB, Biasi G, Petasecca M, Lerch MLF, Villani G, Feygelman V (2020) Advanced dosimetry techniques for modern radiation therapy. Phys Med Biol, 65(16): 16TR01. [ DOI:10.1088/1361-6560/aba163] 7. Rustgi SN (1998) Monte Carlo simulations in radiation therapy dosimetry. Phys Med Biol, 43(8): 2085-102. [ DOI:10.1088/0031-9155/43/8/007] 8. Acun H, Bozkurt A, Kemikler G (2017) Dosimetric investigation of high dose rate Ir-192 source with Monte Calro method. Int J Radiat Res, 15: 242-249. 9. Mowlavi AA, Cupardo F, Severgnini M (2008) Monte Carlo and experimental relative dose determination for an Iridium-192 source in water phantom. Iran J Radiat Res, 6: 37-42. 10. Briesmeister JF (2000) MCNPTM- A general Monte Carlo Nparticle transport code, Version 4C. Los Alamos National laboratory Report LA-13709-M, USA. 11. Hsu SM, Wu CH, Lee JH, Hsieh YJ, Yu CY, Liao YJ (2023) Investigation of apoptosis pathways in irradiated cancer cells. PLoS One, 7(9): e44528. [ DOI:10.1371/journal.pone.0044528] 12. Joya M, Nedaie HA, Geraily G, Rezaei H, Bromand A, Ghorbani M, et al. (2023) Assessment of radiation dose distribution in brachytherapy. J Med Phys, 48(4): 268-75. [ DOI:10.4103/jmp.jmp_41_23] 13. Oh G, Lee J, Kim H, Kim W, Kang S, Chung J, et al. (2024) Physiological responses to low-dose radiation exposure. Front Physiol, 15:1302301. [ DOI:10.3389/fphys.2024.1302301] 14. Han MJ, Kang SW, Cho W, Kim JS, Kim IA, Chung JB (2024) Evaluation of photoconductor and scintillator hybrid dosimeters for radiation therapy quality assurance. J Instrum, 19(9): P09035. [ DOI:10.1088/1748-0221/19/09/P09035] 15. International Commission on Radiation Units and Measurements (2013) Prescribing, recording, and reporting photon-beam intensity-modulated radiation therapy (IMRT). J ICRU, 13(1): 1-73. 16. Bennett PR, Shah KS, Dmitriev Y, Klugerman M, Gupta T, Squillante M, et al. (2003) Development of high-resolution gamma-ray detectors for medical imaging. Nucl Instrum Methods Phys Res A, 505(1-2): 269-72. [ DOI:10.1016/S0168-9002(03)01066-0] 17. Semeniuk O, Grynko O, Decrescenzo G, Juska G, Wang K, Reznik A (2017) Investigation of photoconductive properties of novel semiconductor materials. Sci Rep, 7(1): 8659. [ DOI:10.1038/s41598-017-09168-3] 18. Han MJ, Yang SW, Bae SI, Moon YM, Jeon W, Choi CW, et al. (2021) Evaluation of a new dosimetric system for radiation therapy applications. PLoS One, 16(5): e0251441. [ DOI:10.1371/journal.pone.0251441] 19. Cho G (2008) Advances in nuclear medicine imaging techniques. Nucl Med Mol Imaging, 42(2): 88-95. 20. Pineau E, Grynko O, Thibault T, Alexandrov A, Csik A, Kokenyesi S, et al. (2022) Development of novel sensors for radiation detection. Sensors (Basel), 22(16): 5998. [ DOI:10.3390/s22165998] 21. Talamonti C, Kanxheri K, Pallotta S, Servoli L (2021) Diamond Detectors for Radiotherapy X-Ray Small Beam Dosimetry. Front Phys, 9: 632299. [ DOI:10.3389/fphy.2021.632299] 22. Granero D, Perez-Calatayud J, Ballester F (2005) Monte Carlo calculation of the TG-43 dosimetric parameters of a new BEBIG Ir-192 HDR source. Radiother Oncol, 76(1): 79-85. [ DOI:10.1016/j.radonc.2005.06.016] 23. Yang SW, Han MJ, Shin YH, Jung JH, Cho HL, Park SK (2023) Development of quality assurance dosimeter for brachytherapy based on CsPbBr3 and evaluation of applicability. J Instrum, 18(6): P06024. [ DOI:10.1088/1748-0221/18/06/P06024] 24. Han MJ, Yang SW, Jung JH, Lee DH, Kim JY, Cho SJ, et al. (2022) Performance analysis of a new radiation detector for medical applications. J Instrum, 17(2): P02010. [ DOI:10.1088/1748-0221/17/02/P02010] 25. Yang SW, Park SK, Moon CW, Kim KH (2023) Design and characterization of a compact dosimeter for radiation therapy. J Instrum, 18(7): P07021. [ DOI:10.1088/1748-0221/18/07/P07021] 26. Kalinowski J, Enger SA (2024) RapidBrachyTG43: A Geant4-based TG-43 parameter and dose calculation module for brachytherapy dosimetry, Med Phys, 51(5): 3746-3757. [ DOI:10.1002/mp.16948] 27. Wu J, Xie Y, Ding Z, Li F, Wang L (2021) Monte Carlo study of TG-43 dosimetry parameters of GammaMed Plus high dose rate 192Ir brachytherapy source using TOPAS. J Appl Clin Med Phys, 22(6): 146-153. [ DOI:10.1002/acm2.13252] 28. Feldman J and Orion I (2016) Small volume ionization chambers angular dependence and its influence on point-dose measurements. Int J Med Phys Clin Eng Radiat Oncol, 5(1): 26-32. [ DOI:10.4236/ijmpcero.2016.51003] 29. Angelou C, Patallo IS, Doherty D, Romano F, Schettion G (2024) A review of diamond dosimeters in advanced radiotherapy techniques, Med Phys, 51(12):9230-9249. [ DOI:10.1002/mp.17370] 30. Pappas EP, Zoros E, Moutsatsos A, Peppa V, Zourari K, Karaiskos P, Papagiannis P (2017) On the experimental validation of model-based dose calculation algorithms for 192Ir HDR brachytherapy treatment planning, Phys Med Biol, 62(10): 4160-4182. [ DOI:10.1088/1361-6560/aa6a01] 31. Sloboda RS, Morrison H, Cawston-Grant B, Menon GV (2017) A brief look at model-based dose calculation principles, practicalities, and promise. J Comtemp Brachytherpay, 9(1): 79-88. [ DOI:10.5114/jcb.2017.65849] |
|
| Add your comments about this article |
|
|
|
|
Han M, Kang S, Eom K, Kim I, Kim J, Lee B, et al . Evaluation of distance and angular dependence of polycrystalline semiconductor dosimeters for Ir-192 brachytherapy source using experimental measurements and Monte Carlo simulations. Int J Radiat Res 2026; 24 (2) :317-322 URL: http://ijrr.com/article-1-7006-en.html
|
